Abstract
In recent years, the rapid development of information science and technology is also changing the way of life of human beings. Especially with the application of advanced technologies such as big data analysis technology, digital media technology and network technology to the field of education, not only is the form of education reformed, college students as one of the subjects of education have also been affected by many definitions. This article aims to study the proportion of college students’ Internet education (IE) data based on big data analysis technology. Based on data analysis technology, this article sorts out the general situation of college students’ IE, and summarizes the content and form of college students’ IE. This paper analyzes the problems and causes of IE for college students through a questionnaire survey, and discusses strategies for the active development of IE for college students from schools, teachers and college students themselves. Survey data shows that among the 508 college students, 86.02% of the students use Tencent Meeting; 72.44% of the students use Superstar Learning Link; 59.84% of the students use Wisdom Tree; 31.89% of the students use MOOC; 34.65% of the students use Nail nail. This shows that college students can actively use the Internet platform for learning and play the positive role of the Internet.
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Yang, Y., Cui, Y. (2022). Proportion of College Students’ Internet Education Data Based on Big Data Analysis Technology. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 102. Springer, Singapore. https://doi.org/10.1007/978-981-16-7466-2_53
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DOI: https://doi.org/10.1007/978-981-16-7466-2_53
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